evidence routing 1high-resolution visual question answering 1memory efficiency 1multimodal large language models 1single-pass inference 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Thinking Once Is Enough: Intermediate-Layer Evidence Routing for High-Resolution VQA
Zhongkuan Mao, Xianjie Liu, Tianyu Meng +9
The paper proposes a training‑free, single‑pass method that routes intermediate‑layer visual evidence to improve high‑resolution visual question answering without extra image proce…
cs.CV2026
E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
Xianjie Liu, Yiman Hu, Liang Wu +4
E-commerce short videos represent a high-revenue segment of the online video industry characterized by a goal-driven format and dense multi-modal signals. Current models often stru…
cs.CV2026
HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling
Xianjie Liu, Yiman Hu, Yixiong Zou +3
Multimodal Large Language Models (MLLMs) have made significant strides in visual understanding tasks. However, their performance on high-resolution images remains suboptimal. While…